Zoox
Senior Staff/Principal Software Engineer - GPU System Software, Onboard Execution
Foster City, CA. Posted 21 days ago
The role
You will lead the Onboard Execution team within the Software Performance group. The role covers optimizing GPU and compute use in the autonomous vehicle's onboard software, including inference performance and hardware direction.
What you will do
- Define how perception, prediction and planning workloads share onboard GPUs, including scheduling and isolation.
- Own the multi-year roadmap to cut onboard compute per vehicle.
- Guide next-generation GPU and SoC decisions with workload models and performance projections.
- Lead performance bring-up of each new platform.
- Set direction for the inference stack and partner with ML teams.
- Lead and mentor senior engineers.
- Align directors and VPs through design docs.
- Make the hard calls when performance, safety and schedule conflict.
Required qualifications
- BS in computer science, computer engineering or a related field.
- 10+ years in systems or performance engineering, including leading GPU or accelerator architecture or a performance engineering team.
- Deep CUDA platform and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor).
- Proven record of technical direction and delivering large, measurable end-to-end gains in latency, utilization or cost.
- Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion).
- Expert C++ on Linux.
- Ability to align ML, systems, hardware and leadership on a shared technical plan.
Nice to have
- Real-time or embedded GPU experience in autonomy, robotics, AR/VR, games or HPC.
- Production GPU multi-tenancy experience (MPS, MIG, priority streams).
- New GPU architecture or platform bring-up, benchmarking methodology, or workload modeling and projections.
About the company
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring it to market. It works at the intersection of robotics, machine learning and design to provide mobility-as-a-service in urban environments.